192 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"Helmholtz-Zentrum-Umweltforschung" positions at Virginia Tech in United States
Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
Job Description The Learning Specialist will work with colleagues in Student Athlete Academic Support Services (SAASS) to meet the academic support needs of student-athletes. Specifically
-
the future of computing at Virginia Tech through research, teaching, and service. The candidate will teach core courses in computer engineering—such as embedded systems, computer architecture, and network
-
knowledge of healthcare systems, electronic health records, and healthcare data standards are highly desirable. Background of strong expertise in mathematical modelling, optimization, machine learning, AI
-
systems for accelerating computational catalysis and experimental design. The successful candidate will contribute to building AI-native frameworks that combine first-principles modeling, machine-learning
-
. • Proficient communication skills. • Track record of conducting original research and publishing in peer-reviewed scientific journals. Preferred Qualifications • Experience in remote sensing or machine learning
-
work environment. You will have the opportunity to engage with a diverse range of individuals, learn from experienced professionals, and contribute to the success of both the office and the university
-
Job Description Incumbent will learn to perform tasks in the Mechanical trades (Plumbing, Steam fitting, HVAC, and Maintenance Millwright and Welding) in support of building maintenance/installation
-
. The ideal candidate will lead the development of new courses and learning experiences in artificial intelligence (AI) and machine learning for audio and music platforms. The faculty member will maintain
-
• Interest in continuous learning Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information Commensurate with Experience with a minimum of $50,000 Hours per week 40
-
in areas related to quantum information theory, quantum error correction, and machine learning. The position will start in fall 2026 and will be for two years, with a possible 1-year extension pending